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Social Network Analysis Methodologies for the Evaluation of Cluster Development Programs

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  • Giuliani, Elisa

    (Department of Economics and Management, University of Pisa; CIRCLE, Lund University)

  • Pietrobelli, Carlo

    (Inter-American Development Bank)

Abstract

Cluster development programs (CDPs) have been adopted widely in many countries worldwide. Many such programs aim to promote economic development by forming and strengthening inter-organizational networks. Despite their widespread diffusion, we know very little about CDP outputs or the impact CDPs have on host regions and their populations. Evaluation studies are beginning to appear, but the overall concern is that a distinct evaluation concept and method with a focus on CDPs is not yet available. The objective of this paper is to address this limitation, by proposing a novel methodological approach in the evaluation of CDPs based on the application of concepts and methods of social network analysis (SNA).

Suggested Citation

  • Giuliani, Elisa & Pietrobelli, Carlo, 2014. "Social Network Analysis Methodologies for the Evaluation of Cluster Development Programs," Papers in Innovation Studies 2014/11, Lund University, CIRCLE - Centre for Innovation Research.
    • Handle: RePEc:hhs:lucirc:2014_011
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    Cited by:

    1. Uwe Cantner & Holger Graf & Susanne Hinzmann, 2013. "Policy Induced Innovation Networks: The Case of the German “Leading-Edge Cluster Competition”," Advances in Spatial Science, in: Thomas Scherngell (ed.), The Geography of Networks and R&D Collaborations, edition 127, chapter 0, pages 335-352, Springer.
    2. Roman Martin & Jan Ole Rypestøl, 2018. "Linking content and technology: on the geography of innovation networks in the Bergen media cluster," Industry and Innovation, Taylor & Francis Journals, vol. 25(10), pages 966-989, November.
    3. Graf, Holger & Broekel, Tom, 2020. "A shot in the dark? Policy influence on cluster networks," Research Policy, Elsevier, vol. 49(3).
    4. Bastien Bernela & Marie Ferru & Marc-Hubert Depret, 2017. "When genesis shapes cluster life cycle? Applying mixed method on a French cluster case study," Working Papers halshs-01616929, HAL.
    5. David Marek & Jiří Blažek, 2016. "The challenge of breaking the academia--business firewall in Czechia: comparing the role of differentiated knowledge bases in collaborative R&D projects," European Planning Studies, Taylor & Francis Journals, vol. 24(4), pages 809-831.
    6. Stefan Töpfer & Uwe Cantner & Holger Graf, 2019. "Structural dynamics of innovation networks in German Leading-Edge Clusters," The Journal of Technology Transfer, Springer, vol. 44(6), pages 1816-1839, December.
    7. Mari Jose Aranguren & Edurne Magro & James R Wilson, 2017. "Regional competitiveness policy evaluation as a transformative process: From theory to practice," Environment and Planning C, , vol. 35(4), pages 703-720, June.
    8. Safora Allahy & Reza Naghizadeh & Saeed Shavvalpour & Joao Ferreira & Naser Bagheri Moghaddam, 2022. "The Nature and Geography of Knowledge Sourcing in a Developing Region: the Case of Engineering-Based Cluster," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 3076-3102, December.
    9. Liu, Ju & Chaminade, Cristina, 2014. "Exploring the interplay, differences, and commonalities between global production networks and global innovation networks of two multinational companies," Papers in Innovation Studies 2014/7, Lund University, CIRCLE - Centre for Innovation Research.
    10. Christian Longhi, 2015. "Clusters and Collective Learning Networks: The Case of the Competitiveness Cluster 'Secure Communicating Solutions' in the French Provence-Alpes-Côte d'Azur Region," GREDEG Working Papers 2015-28, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    11. José-Antonio Belso-Martínez & Manuel Expósito-Langa, 2015. "Persistence and extinction of brokerage roles in clusters: the role of status, former experiences and extra-cluster relationships," Papers in Evolutionary Economic Geography (PEEG) 1501, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jan 2015.

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    More about this item

    Keywords

    cluster development programs; policy evaluation; social network analysis;
    All these keywords.

    JEL classification:

    • O22 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Project Analysis
    • O29 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Other
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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